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Applied AI·July 19, 2026·1 min read

As many companies cut AI costs by using cheaper models, some, like Shopify, go all-in on frontier models, barring engineers from using anything else

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Model strategy is bifurcating: most enterprises are cost-optimizing on smaller models while a minority mandate frontier-only to chase product edge. If you pick the frontier path, treat it as a platform bet—lock in procurement discipline, latency budgets, and clear rules on where the extra capability must translate into revenue or retention.

Applied AI

Iren’s stock surges as the neocloud lands $2.8 billion worth of new deals

$2.8B in new AI infra deals and chip prepayments says hyperscale-style, pre-contracted capacity is no longer just for the Big 3 clouds—“neoclouds” are turning long-term AI demand into bankable capex. If you’re planning large training or inference footprints, you now have more leverage and more complexity: weigh power, geography, and contract lock-in across both hyperscalers and these emerging providers.